Back
Tier-1 brand, metro location, mid-level generalist role, and broad skillset increase applicant competition.
Data engineering skills are transferable across industries but require domain-specific warehousing experience.
Mandatory SQL/PLSQL and data engineering fundamentals but flexible cloud preferences yield moderate filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and maintain scalable ETL/ELT data pipelines and data warehousing solutions.
Write and optimize complex SQL queries, stored procedures, and database performance.
Collaborate with cross-functional teams to translate business requirements into scalable data solutions and support data integration from multiple sources.
3+ years of work experience in data engineering or related roles.
Strong proficiency in core SQL and PL/SQL programming with experience on Oracle, SQL Server, PostgreSQL, or MySQL databases.
Solid understanding of ETL/ELT frameworks, data warehousing concepts, and data modeling techniques.
Experience working with large datasets and familiarity with batch and near real-time data pipelines.
Hands-on experience designing and optimizing complex SQL queries and procedures within robust database environments.
Capable of building and maintaining scalable data warehouse structures and ETL/ELT pipelines aligned with business goals.
Experience working with GCP cloud services like BigQuery and Dataflow, or on-premise to cloud migrations, is preferred but not mandatory.